Through a thorough study on measurements of micro-electric imaging logging, a resistivity scaling formula based on the low frequency components is proposed, combined with Archie's equation and introduction of conventional logging data and processing results, an algorithm which can directly convert mico-electric imaging logging data into porosity was strictly derived. With this method, resistivity scaling process and direct application of Archie formula can be avoided, thus the processing is simplified, and impacts of a variety of uncertainties such as a,b,n,Sxo and Rmf in Archie formula and shallow investigation laterolog RLLS for the results can be eliminated, which maximize a self-adaptive processing of the data. Consequently, a variety of statistical analysis was made upon the porosity spectrum, an interval porosity analysis similar to NMR is carried out, a porosity radial heterogeneity analysis similar to permeability evaluation in reservoir description was also made. Programming with Visual C++ , a software has been developed and applied in carbonate reservoir capacity forecast. For the first time we proposed the concept of "porosity contribution factor". By regression analysis of the logging data and the oil testing data of the study area, a fitting formula of oil-producing intensity and porosity contribution factor was established.%深入研究了电成像测井的测量方式,提出一种基于电成像低频分量的电阻率刻度公式,结合Archie公式并引入常规测井数据及处理成果,严格推导出一种可将电成像测井数据直接标定为孔隙度的算法.此方法省略了先作电阻率刻度再应用Archie公式等中间步骤,处理过程得以简化,并可消除Archie公式中a、b、n、Sxo、Rmf等参数以及浅侧向测井RLLS等因素对处理结果的影响,较大程度地实现了数据的自适应性处理.在此基础上,对孔隙度频谱进行多种统计分析,开展了类似核磁的区间孔隙度分析以及类似油藏描述中渗透率评价的孔隙度径向非均质性分析,将研究成果应用于碳酸盐岩储层产能预测中,引入“孔隙贡献因子”概念,并通过测井资料和试油资料建立了“孔隙度贡献因子”与储层产油强度的定量关系.
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